Triple

T7035136
Position Surface form Disambiguated ID Type / Status
Subject Mao E163362 entity
Predicate hasNotableBearer P458 FINISHED
Object Mao Xuefeng
Mao Xuefeng is a Chinese individual notable enough to be specifically cited as a prominent bearer of the surname Mao.
 E664179 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mao Xuefeng | Statement: [Mao, hasNotableBearer, Mao Xuefeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mao Xuefeng
Context triple: [Mao, hasNotableBearer, Mao Xuefeng]
  • A. Mao Xuejun
    Mao Xuejun is a Chinese individual notable enough to be specifically cited as a bearer of the surname Mao, though detailed public information about their life or achievements is limited.
  • B. Mao Xinyuan
    Mao Xinyuan is a person notable for bearing the Chinese surname Mao, though specific widely known public information about them is limited.
  • C. Mao Xinyu
    Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
  • D. Mao Yushi
    Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
  • E. Mao Anying
    Mao Anying was the eldest son of Chinese leader Mao Zedong, best known for his death while serving as a volunteer officer in the Korean War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mao Xuefeng
Triple: [Mao, hasNotableBearer, Mao Xuefeng]
Generated description
Mao Xuefeng is a Chinese individual notable enough to be specifically cited as a prominent bearer of the surname Mao.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mao Xuefeng
Target entity description: Mao Xuefeng is a Chinese individual notable enough to be specifically cited as a prominent bearer of the surname Mao.
  • A. Mao Xuejun
    Mao Xuejun is a Chinese individual notable enough to be specifically cited as a bearer of the surname Mao, though detailed public information about their life or achievements is limited.
  • B. Mao Xinyuan
    Mao Xinyuan is a person notable for bearing the Chinese surname Mao, though specific widely known public information about them is limited.
  • C. Mao Xinyu
    Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
  • D. Mao Yushi
    Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
  • E. Mao Anying
    Mao Anying was the eldest son of Chinese leader Mao Zedong, best known for his death while serving as a volunteer officer in the Korean War.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e212e28c8190bf38ce9a25d2032e completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ea4f7f081909c94b7062c0d4dde completed March 28, 2026, 6:32 p.m.
NEDg Description generation batch_69c81f54f95081909e8b35541b78b3ff completed March 28, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69c81fd4d67481909f6b23edae0392ee completed March 28, 2026, 6:37 p.m.
Created at: March 27, 2026, 2:36 p.m.